Automated extraction of the arterial input function from brain images for parametric PET studies.

Moradi, Hamed; Vashistha, Rajat; Ghosh, Soumen; O'Brien, Kieran; Hammond, Amanda; Rominger, Axel; Sari, Hasan; Shi, Kuangyu; Vegh, Viktor; Reutens, David (2024). Automated extraction of the arterial input function from brain images for parametric PET studies. EJNMMI research, 14(1), p. 33. Springer 10.1186/s13550-024-01100-x

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BACKGROUND

Accurate measurement of the arterial input function (AIF) is crucial for parametric PET studies, but the AIF is commonly derived from invasive arterial blood sampling. It is possible to use an image-derived input function (IDIF) obtained by imaging a large blood pool, but IDIF measurement in PET brain studies performed on standard field of view scanners is challenging due to lack of a large blood pool in the field-of-view. Here we describe a novel automated approach to estimate the AIF from brain images.

RESULTS

Total body 18F-FDG PET data from 12 subjects were split into a model adjustment group (n = 6) and a validation group (n = 6). We developed an AIF estimation framework using wavelet-based methods and unsupervised machine learning to distinguish arterial and venous activity curves, compared to the IDIF from the descending aorta. All of the automatically extracted AIFs in the validation group had similar shape to the IDIF derived from the descending aorta IDIF. The average area under the curve error and normalised root mean square error across validation data were - 1.59 ± 2.93% and 0.17 ± 0.07.

CONCLUSIONS

Our automated AIF framework accurately estimates the AIF from brain images. It reduces operator-dependence, and could facilitate the clinical adoption of parametric PET.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Clinic of Nuclear Medicine

UniBE Contributor:

Rominger, Axel Oliver, Sari, Hasan, Shi, Kuangyu

Subjects:

600 Technology > 610 Medicine & health
500 Science > 570 Life sciences; biology

ISSN:

2191-219X

Publisher:

Springer

Language:

English

Submitter:

Pubmed Import

Date Deposited:

02 Apr 2024 09:09

Last Modified:

02 Apr 2024 09:19

Publisher DOI:

10.1186/s13550-024-01100-x

PubMed ID:

38558200

Uncontrolled Keywords:

Automatic AIF estimation Dynamic PET Non-invasive arterial input function Parametric mapping

BORIS DOI:

10.48350/195529

URI:

https://boris.unibe.ch/id/eprint/195529

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